Advancement of Sustainable Development, Decision Support Systems, and Data Science Based on the Seventeenth ICMSEM Proceedings

Uncertainty Decision-Making Laboratory, Sichuan University, Chengdu 610065, People’s Republic of China

^* e-mail: xujiuping@scu.edu.cn

Abstract

Management science (MS) uses a variety of scientific researchbased principles and analytical methods, such as mathematical modeling and data analysis, to make decisions and solve complex problems, and has strong connections to management, data, economics, engineering, and other fields. The scientific MS community has grown significantly over the past few decades, particularly in sustainable development, decision support systems, and data science. This paper gives a brief introduction to Volume I of the seventeenth ICMSEM proceedings. First, the key MS research areas are reviewed and the reasons given as to why sustainable development, decision support systems, and data science have been hotspots. Then, the literature in the primary study areas in the seventeenth ICMSEM proceedings Volume I is summarized. Finally, CiteSpace is employed to analyze future MS developments. ICMSEM continues to provide a valuable forum for academic exchanges and communication to promote future innovation in management science and engineering management (MSEM).